Capitol Clash SYC/RCC & Y8

Cadet Women's Épée

Sunday, January 19, 2025 at 2:30 PM

Gaylord National Resort and Convention Center - National Harbor, MD, USA

Probability density of pool victories

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Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.

# Name Number of victories
0 1 2 3 4 5 6
1 CHI Chelsea - - - 1% 9% 36% 54%
2 QI Julieanne - - - 3% 18% 45% 35%
3 DHAIYA Tanya - 3% 18% 38% 32% 9%
3 LI Azalea - 1% 5% 20% 37% 31% 6%
5 LIN Isabel - 2% 10% 28% 36% 20% 4%
6 XU Serena - - - 1% 8% 34% 57%
7 JIANG Serena - - 1% 5% 22% 43% 29%
8 KANG Yenna 1% 7% 25% 37% 24% 6%
9 NEELAM Navya - - - 1% 13% 45% 40%
10 XU Jessica - 2% 12% 34% 38% 15%
11 TISMENSKY Abigail - 1% 10% 28% 37% 20% 3%
12 ZHU Serene M. - - - 1% 8% 36% 55%
13 QIU Emily - - - 4% 24% 48% 24%
14 TALANDZEVICIUS Sophia - - 4% 19% 36% 31% 9%
15 KAUR Manroop - - 2% 14% 41% 43%
16 YAO Chloe - 5% 24% 41% 25% 4%
17 HALE Avery - 2% 10% 27% 35% 22% 5%
18 WANG Cecilia - - 2% 16% 38% 36% 8%
19 GOH Cayla - - - 2% 14% 43% 41%
20 HE Anna - 2% 10% 29% 37% 20% 3%
21 KROPP Anne - 1% 8% 28% 42% 22%
22 VENKATESAN Harshitha - 4% 22% 39% 27% 7% 1%
23 LIN Ariel - - - 4% 18% 42% 36%
24 CHI Zoe - - 1% 10% 31% 42% 15%
25 YU Chloe - 4% 20% 38% 29% 8% 1%
26 WONG Sydney - 1% 10% 32% 39% 16% 2%
27 IVANOV Angela-Sophie 25% 42% 25% 7% 1% - -
28 LI Alice - 1% 6% 22% 38% 27% 7%
29 STERN Savannah - 1% 6% 23% 38% 26% 5%
30 BEATIE Isabella M. - 1% 9% 30% 41% 19%
31 PILSON Rebecca - 1% 8% 30% 43% 18%
32 CUEVA Viola - 2% 15% 38% 36% 9%
33 ILYAS Ayah - - - 4% 21% 43% 31%
34 LEE Gloria Y. - - 2% 9% 28% 40% 22%
35 SHEFFIELD Skye - - 3% 20% 45% 32%
36 OLELE Ifechi - 4% 16% 32% 32% 14% 2%
37 WONG Angelina - 5% 19% 34% 29% 12% 2%
38 WANG Selina 2% 17% 39% 32% 10% 1%
39 BURT Emmalyne Grace 2% 13% 32% 35% 16% 3%
40 MURPHY Katherine - 1% 13% 35% 38% 14%
41 D'ANGELO Olivia 17% 43% 30% 8% 1% -
42 ADYANTHAYA Anika - - 1% 7% 28% 45% 20%
43 NING Miranda - 3% 13% 30% 34% 17% 3%
44 VOSKOV Olivia - 2% 11% 28% 35% 20% 4%
45 ELTERMAN Kate - - 3% 16% 36% 34% 11%
46 LEE Kate - 3% 21% 38% 28% 9% 1%
47 GOLIYAD Lisa - 1% 10% 37% 39% 12% 1%
48 RICHARDS Axelle - 3% 17% 34% 31% 13% 2%
49 JIANG Chenxi 1% 14% 39% 35% 11% 1% -
50 PETROFF Eva - 4% 21% 39% 29% 7%
51 WEI Sherry - 1% 8% 27% 41% 23%
52 ZHENG Erin 3% 22% 40% 27% 8% 1%
53 KOVALCHUK Erika S. - - 4% 21% 43% 27% 5%
54 SONG Charlotte 1% 12% 49% 31% 7% 1% -
55 COMBS Hannah 10% 32% 35% 17% 4% - -
56 LEVKOV Maita - 5% 23% 38% 26% 7% 1%
57 YU Livia 1% 7% 26% 38% 23% 5% -
58 GAVASHELI Margarita 1% 9% 27% 36% 22% 5% -
59 YAN Ximei (Alicia) 3% 17% 35% 30% 12% 2% -
60 GAN Shelby - 1% 9% 37% 39% 12% 1%
61 EKSHTUT Leah - 3% 13% 30% 33% 17% 3%
62 WRIGHT Madison 4% 20% 36% 29% 10% 2% -
63 DESAI Ela 3% 17% 35% 31% 12% 2% -
64 BUNCH Halle 36% 42% 18% 3% - -
65 KUPPUSAMY Mahaa 1% 13% 37% 36% 12% 1% -
66 JEYOON Lauren 2% 17% 38% 32% 10% 1% -
66 LEE Kaitlyn 2% 18% 38% 30% 11% 2% -
68 BURROWS Beatrice 4% 25% 42% 23% 5% -
69 SHETH Anayaà 9% 32% 36% 18% 4% -
70 BI Michelle - 4% 20% 42% 29% 6%
71 REISNER Gabriella 4% 29% 41% 21% 5% -
72 ZHAN Clare - 2% 18% 39% 31% 9% 1%
73 LIANG Jingjing - - - 4% 18% 41% 37%
74 TISMENSKY Avital 3% 18% 35% 30% 12% 2% -
75 FANG Kayla - - 2% 11% 30% 38% 19%
76 MEMON Insha 1% 9% 35% 37% 15% 2% -
77 ANEZIOKORO Zahra - 1% 8% 25% 36% 24% 5%
78 XIAO Katelyn 4% 28% 40% 22% 5% 1% -
79 ASHFORD Marguerite 21% 45% 27% 7% 1% - -
80 CHEN Alina 1% 7% 31% 39% 19% 3%
81 TISHKOVA-ROBERTS Daria 24% 45% 25% 5% - -
82 SHEIKH PAREE 9% 30% 35% 19% 5% 1% -
83 BECKMAN Amaya 1% 8% 24% 35% 24% 8% 1%
84 LI Nicole 17% 40% 31% 11% 2% - -
85 MORET Teagan 36% 46% 16% 2% - - -
86 LAMBA Sayona 46% 44% 9% 1% - - -
87 CHEN Ava 1% 10% 30% 35% 19% 4% -
88 ALTHOUSE Marlena - - 5% 24% 46% 22% 2%
89 PERKINS Zoe 21% 50% 24% 5% - -
90 GALINSKY Lana 29% 46% 21% 3% - -
91 NAPOLI Eleanor 41% 43% 14% 2% - -
92 SHABBIR Aiza 46% 42% 11% 1% - -
93 EL BADAOUI Salma 27% 42% 24% 6% 1% - -
94 SUN Karolyn - 1% 11% 30% 35% 19% 4%
95 WOOLF Fredrika 3% 18% 34% 30% 13% 3% -
95 ERBER Liberty 35% 42% 19% 4% - - -
97 ZHONG Evelyn 6% 29% 39% 21% 5% - -
98 HOWARD Brielle 24% 46% 24% 5% - - -
99 KRISHNA Rithika 3% 19% 35% 28% 11% 2% -
100 CLERMONT Chloe 9% 37% 37% 14% 2% - -
101 CHAKRAPANI Tara 37% 41% 18% 4% - - -
102 WU Madisen 11% 32% 35% 17% 4% 1% -
102 BERGMANN Beatrix - < 1% 4% 19% 38% 30% 8%
104 GORDON Hannah 29% 50% 18% 3% - - -
105 BARNETT-PAO Nora 13% 34% 33% 15% 4% - -
106 FONS Amandine 30% 54% 14% 1% - - -
107 SHIN Jamie 65% 30% 5% - - -
108 FAN Joy 8% 29% 36% 20% 5% 1% -
109 DROLET Julia 70% 26% 3% - - - -
110 BEJUGAMA Lasya 28% 43% 23% 5% 1% - -
111 ZHANG Jane < 1% 6% 23% 37% 27% 7%
112 BROSNAN Mabel 52% 42% 5% - - - -
113 KRAVCHENKO Tatyana 42% 46% 11% 1% - - -
113 IYENGAR Sthuthi 58% 35% 6% - - - -

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.